Dar-Blockchain/talentai
May 2025 – Jul 2025
3 Months active
Languages Used
JSONJavaScript
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationBackend DevelopmentBlockchainDatabase Integration
monabeldi
PROFILE
Monabeldi
Mona Beldi developed advanced AI-driven assessment and onboarding systems for the Dar-Blockchain/talentai repository, focusing on scalable workflows for talent evaluation and project analysis. Over three months, she engineered robust backend features using Node.js, JavaScript, and Mongoose, integrating AI/ML models for dynamic question generation, answer analysis, and proficiency tracking. Her work included secure Hedera wallet-based account creation, modular API endpoints for onboarding and project assessments, and persistent data models linking results to user profiles. By refactoring data flows and enhancing prompt engineering, Mona improved data integrity, auditability, and user-centric ownership, delivering maintainable solutions that support data-driven hiring and evaluation processes.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
100Total
Bugs
10
Commits
100
Features
45
Lines of code
18,611
Activity Months3
Your Network
10 peopleSame Organization
@esprit.tn3
Shared Repositories
7
Work History
July 2025
11 Commits • 2 Features
Jul 1, 2025July 2025 highlights for Dar-Blockchain/talentai: Delivered AI-assisted assessment capabilities and analytics to standardize project evaluations and enable data-driven decisions across talent projects. Focused on creating a scalable, user-centered workflow with robust data models and AI prompts.
11 Commits • 2 Features
Jul 1, 2025July 2025 highlights for Dar-Blockchain/talentai: Delivered AI-assisted assessment capabilities and analytics to standardize project evaluations and enable data-driven decisions across talent projects. Focused on creating a scalable, user-centered workflow with robust data models and AI prompts.
July 2025
June 2025
72 Commits • 38 Features
Jun 1, 2025June 2025 monthly performance summary for Dar-Blockchain/talentai focusing on onboarding and job assessment systems, data modeling, and API enhancements. The work delivered combines substantial feature improvements, reliability safeguards, and clear business value in talent evaluation, onboarding efficiency, and data-driven decisioning.
June 2025
72 Commits • 38 Features
Jun 1, 2025June 2025 monthly performance summary for Dar-Blockchain/talentai focusing on onboarding and job assessment systems, data modeling, and API enhancements. The work delivered combines substantial feature improvements, reliability safeguards, and clear business value in talent evaluation, onboarding efficiency, and data-driven decisioning.
May 2025
17 Commits • 5 Features
May 1, 2025May 2025 performance summary for Dar-Blockchain/talentai: Strengthened hiring workflow and on-chain reliability while expanding AI capabilities. Key features delivered include Hedera wallet-based account creation with secure transaction signing, AI Interview Questions Generator API, persistence/linking of job assessments, migration to TogetherAI across AI features, and AI-driven ToDo List for candidate profiles. Major bugs fixed include Gmail signing issues in Hedera integration and robust evaluation result parsing. Impact: faster candidate screening, improved data integrity and auditability, and scalable AI workloads. Technologies demonstrated: Hedera SDK wallet signer pattern, TogetherAI integration, API design, DB persistence, AI toolchains, and robust JSON parsing.
17 Commits • 5 Features
May 1, 2025May 2025 performance summary for Dar-Blockchain/talentai: Strengthened hiring workflow and on-chain reliability while expanding AI capabilities. Key features delivered include Hedera wallet-based account creation with secure transaction signing, AI Interview Questions Generator API, persistence/linking of job assessments, migration to TogetherAI across AI features, and AI-driven ToDo List for candidate profiles. Major bugs fixed include Gmail signing issues in Hedera integration and robust evaluation result parsing. Impact: faster candidate screening, improved data integrity and auditability, and scalable AI workloads. Technologies demonstrated: Hedera SDK wallet signer pattern, TogetherAI integration, API design, DB persistence, AI toolchains, and robust JSON parsing.
May 2025
Activity
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Quality Metrics
Correctness84.2%
Maintainability82.8%
Architecture80.4%
Performance76.8%
AI Usage49.0%
Skills & Technologies
Programming Languages
JSONJavaScript
Technical Skills
AI IntegrationAI Prompt EngineeringAI/MLAI/ML IntegrationAPI ConfigurationAPI DevelopmentAPI IntegrationAPI SecurityBackend DevelopmentBlockchainCode OrganizationCode ReadabilityData ParsingDatabase AggregationDatabase Integration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline